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Using Local Large Language Models to Build Reproducible and Differentiable ODE Parameter Estimation Pipelines
Parameter estimation for ordinary differential equation (ODE) models requires a sequence of interconnected tasks, including implementing model equations, mapping simulated quantities to experimental observations, constructing objective functions, configuring numerical solvers, and assessing fitted r
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